Summary
Tom Schreck is a senior AI solutions consultant and architect with nine years of experience designing full-stack, production-ready systems that bridge business needs and cutting-edge AI. He has led cross-functional teams and delivered ML-powered recommendation engines, agentic LLM workflows, and reusable AI accelerators for clients including the Department of Defense and enterprise financial services. Comfortable across AWS, Node.js, TypeScript/Nest, Angular, C#, SQL Server and DynamoDB, Tom combines hands-on engineering with architecture governance and developer productivity improvements like NX monorepos and code generators. He’s produced thought leadership through white papers and prototypes that have secured funding and replaced legacy systems, and he’s proficient at turning unstructured data into structured insights via LLMs and custom pipelines. Based in Fort Worth, TX, he pairs a business-oriented AI postgraduate credential from UT Austin with practical experience modernizing payment and data platforms. A detail that often surprises collaborators: beyond high-level strategy he still writes production APIs and trains models, keeping one foot in code while shaping enterprise AI roadmaps.
9 years of coding experience
6 years of employment as a software developer
Post Graduate Program Artificial Intelligence and Machine Learning: Business Applications Artificial Intelligence and Machine Learning, Post Graduate Program Artificial Intelligence and Machine Learning: Business Applications Artificial Intelligence and Machine Learning at The University of Texas at Austin
UI/UX Certification, UI/UX Certification at Nielsen Norman Group
BBA Marketing, BBA Marketing at University of North Texas
English